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Nvidia's memory costs soar 485%, latest AI systems now cost $7.8 million to build -- memory now comprises 25% of the total cost, Rubin GPUs a mere $50,000 apiece
As prices of components are increasing rapidly due to high demand from the AI sector, the cost of these machines is also increasing significantly. Morgan Stanley Research estimates that a next-generation Vera Rubin-based VR200 NVL72 rack will cost major hyperscale cloud service providers (CSPs) around $7.8 million per unit (via @Aaronwei3n), which is tangibly more than about $4 million per GB300 NVL72. Furthermore, because every VR200 NVL72 rack packs plenty of DRAM and NAND, memory now accounts for around 25% of the total cost. Nvidia plans to charge $55,000 per Rubin GPU and $5,000 per Vera CPU when selling them in volume inside VR200 NVL72 chassis to hyperscalers, according to Morgan Stanley. Although the upcoming VR200 NVL72 racks use the already familiar Oberon chassis, they use more sophisticated switching, networking, printed circuit board (PCB), cooling, power supply, and even chip packaging components, which increases bill-of-material (BOM) costs and eventually the price of the systems. As a result, each VR200 NVL72 will cost hyperscalers around $7.8 million, according to Morgan Stanley, which is higher than around $7 million we were told by one of our sources in late March. Meanwhile, the cost of memory within a VR200 NVL72 rack will be about $2 million, up 435% from the memory cost in GB300 NVL72, according to the same figures. There are several reasons why the cost of memory is expected to account for 25% of the cost of a VR200 NVL72 system and why the system carries $2 million worth of memory. First up, each of such racks now contains 54 TB of LPDDR5X memory, up from 17 TB of LPDDR5X in the case of a GB200 NVL72, a threefold increase. SemiAnalysis estimates that Nvidia paid $8 per GB per GB of LPDDR5X in Q1, though that price may increase as demand rises in the coming quarters, especially if we are talking about SOCAMM2 modules that are expensive to make and test. In any case, even at $8 per GB, each GB200 NVL72 machine carries $136,000 worth of LPDDR5X memory, whereas each VR200 NVL72 system will contain $408,000 worth of LPDDR5X content. If the price rises to $10, we are talking about $540,000 for LPDDR5X alone. Note that even $10 per GB may be an underestimate* as Nvidia adds its own markup. Secondly, each VR200 NVL72 rack carries about $1 million or more of 3D NAND storage, up from virtually zero inside GB200 NVL72. As a result, $2 million of memory content per Vera Rubin NVL72 rack is not something completely unexpected: the system uses a lot of LPDDR5X and 3D NAND memory (not to mention HBM4 memory onboard of Rubin GPUs), and memory now comes at massive prices. *Contract price of DDR5 memory is now between $12 and $16 per GB, depending on various factors and luck, according to Framework. Spot price for DDR5 was about $20 per GB on average at press time, according to DRAMeXchange. LPDDR5X is more expensive than DDR5. When installed on SOCAMM2 modules (which are exclusively used by Nvidia's Vera CPUs), it will get even more costly, especially when Nvidia's markup is added. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.
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A single Nvidia Vera Rubin rack is estimated to cost $7,803,148 with over $2 million of that figure spent on memory alone
Hands up who among you thought Nvidia's Vera Rubin superchips would be cheap? Good, I see no digits. However, according to a Morgan Stanley research report, the bill for a single VR200 NVL72 rack is estimated to add up to a cool $7,803,148, with $2,001,600 of those costs attributed to memory. That's a 435% increase in memory cost over the GB300, if these figures are correct. A snippet from the report looks to be making its way around various outlets, although we first spotted it via @Aaronwei3n on X. The figure is pretty eye watering, although given the vast amounts of hardware involved, it's not too surprising. And being an outside estimate from an outside research report, I'd advise a small dose of salt. The estimated costs here are said to be representative of what cloud service providers pay, not what it costs Nvidia itself to build one, despite the bill of materials tag. So, there's likely a hefty markup on each item compared to what Nvidia has to spend to put together a rack. Because Nvidia is in the business of making money -- and it's certainly succeeding right now. The company's latest earnings call reported record revenue during the first quarter of 2026, to the tune of $81.6 billion. And yes, AI infrastructure and data center sales make up the vast majority of that moolah. Nvidia's Grace Blackwell AI GPUs have been hugely successful, but CEO Jensen Huang predicts Vera Rubin's reign will be even better. Responding to an investor question, the leather-jacketed-one said: "Every single frontier model company will jump on Vera Rubin from the get go -- and that was not true before on Blackwell. "Vera Rubin is off to a tremendous start, and it will surely be more successful than even Grace Blackwell" But that memory cost figure... eesh. Us PC gamers (and indeed, electronics enthusiasts everywhere) have been putting up with massive price increases for pretty much any component using a memory module, as AI servers hoover them all up and constrain consumer supply. And if you're in the market for a data center full of Nvidia's latest AI-crunching gear, it looks like you too will be spending vast sums of money on memory chips -- if these figures are even close to accurate, that is. Suddenly, a $300+ 32 GB DDR5 kit doesn't look so ridiculous. Actually, scrap that. It absolutely is -- but if Vera Rubin turns out to be the massive success that Nvidia predicts, it looks like memory manufacturers will still be focusing on the AI boom to boost their profits to ever-higher heights.
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NVIDIA's Vera Rubin Rack Hit With 435% Memory Price Surge, Pushing HBM4 & LPDDR5X Bill to $2M of $7.8M Total
NVIDIA's BoM for its upcoming Vera Rubin "NVL72" rack shows a massive surge in memory prices that now make up 26% of the total system cost. Rising Memory Prices & Demand Pushes Memory Costs Up 26% For NVIDIA's Vera Rubin Versus 9% on Grace Blackwell Racks Vera Rubin is in production and is confirmed for first shipments in the third quarter of 2026, followed by volume ramp in the fourth quarter. While NVIDIA cooks up its grandest AI platform to date, the pricing is also going to be grand. Morgan Stanley Research has shared its estimated BoM for NVIDIA's Vera Rubin "VR200" NVL72 rack, which will feature 72 Vera Rubin GPUs, and each tray will house four Rubin GPUs with two Vera CPUs. We'll need to get into the details, which will give you a better understanding of the platform & its cost breakdown. Let's start with the basics: the NVIDIA NVL72 rack is called Oberon and makes use of 72 GPUs. A single Vera Rubin tray houses 4 "Rubin" GPUs and 2 "Vera" CPUs, as mentioned above. Two GPUs and a single CPU are housed on a motherboard, which is called Superchip. There are 36 Superchips on the NVL 72 rack. So that's a total of 72 GPUs and 36 CPUs. Each Rubin GPU houses 288 GB of HBM4 memory, and each Vera CPU comes with 1.5 TB of LPDDR5X memory. For an NVL72 rack, that's 20.7 TB of HBM4 memory and 54 TB of LPDDR5X memory. There is a lot more that goes into Vera Rubin NVL72 racks, such as networking, cooling, power, interconnects, etc. From Morgan Stanley's data, which highlights an "estimated" BoM (Bill of Materials), we can get a better understanding. Starting with the main cost, the Rubin GPU. The Rubin GPUs are expected to cost almost $4 Million, making it the single-most expensive cost within the NVL72 VR200 rack. That's a 57% bump over the Blackwell NVL72 B300 rack, which had the GPU price around $2.5 million. That's $55,000 US per GPU. The second biggest cost is for the memory, which shouldn't be surprising given how constrained the supply is for LPDDR and HBM technologies right now. With Rubin, the memory alone sees a bump of 435%, jumping from $373,939 in Grace Blackwell to over $2 Million on the Vera Rubin platform. The memory price is combined for both LPDDR5X and HBM4. The Vera CPUs amount to $180,000 of the total cost, which puts each chip at roughly $5000 US. All three combined, the total cost of the rack ends up at $6.14 million. The remaining ~$2 million costs include the NVLink Switches, Networking chips, cooling, power supply, PCB, ABF substrates, MLCC, and additional components. The PCB sees the second-highest bump of 233%, going up from $35,100 in Blackwell to $116,730 on Rubin. NVIDIA's upcoming Vera Rubin NVL72 rack marks a powerful new chapter in AI infrastructure, with a total estimated BOM of $7.8 million, driven largely by a 57% jump in GPU costs and a dramatic 435% surge in memory expenses. Memory now accounts for 26% of the entire system cost, highlighting the intense supply constraints and soaring demand for HBM4 and LPDDR5X. As production ramps for Q3 2026 shipments, Vera Rubin is poised to deliver unprecedented performance at a grand price, reinforcing NVIDIA's dominance while underscoring the rising cost of pushing the frontiers of AI. Follow Wccftech on Google to get more of our news coverage in your feeds.
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Nvidia's next-generation Vera Rubin AI infrastructure faces a dramatic memory price surge, with a single VR200 NVL72 rack now estimated at $7.8 million. Memory costs have jumped 435% compared to previous systems, now accounting for over $2 million—or 25% of the total system cost. The spike reflects surging demand for HBM4 & LPDDR5X memory and 3D NAND storage as cloud service providers race to deploy cutting-edge AI infrastructure.
Nvidia Vera Rubin racks are set to command a hefty price tag as cloud service providers prepare for the next wave of AI infrastructure deployment. According to Morgan Stanley Research estimates, a single VR200 NVL72 rack will cost major hyperscale cloud service providers approximately $7.8 million per unit, representing a significant jump from the roughly $4 million price point of the GB300 NVL72 system based on Grace Blackwell architecture
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. The escalating costs reflect both the sophisticated technology packed into these next-generation AI systems and the broader supply constraints affecting critical components.The most striking aspect of the Vera Rubin rack cost breakdown is the dramatic memory price surge. Memory now accounts for approximately 25% to 26% of the total system cost, with an estimated $2 million allocated to memory components alone
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. This represents a staggering 435% increase in memory costs compared to the GB300 NVL72 system, where memory accounted for just 9% of total costs3
. The shift highlights how memory has evolved from a relatively minor cost component to a dominant factor in AI infrastructure economics.
Source: PC Gamer
Each VR200 NVL72 rack contains 54 TB of LPDDR5X memory, a threefold increase from the 17 TB found in GB300 NVL72 systems
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. Additionally, each Rubin GPU houses 288 GB of HBM4 memory, bringing the total HBM4 capacity to 20.7 TB across the 72-GPU rack3
.The breakdown of memory expenses reveals multiple pressure points. At current pricing estimates of $8 per GB for LPDDR5X, each VR200 NVL72 system would contain approximately $408,000 worth of LPDDR5X content. However, if prices rise to $10 per GB—a realistic scenario given increasing demand—the LPDDR5X component alone could reach $540,000
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. These figures may even underestimate actual costs, as LPDDR5X is more expensive than DDR5, and when installed on SOCAMM2 modules exclusively used by Nvidia's Vera CPUs, costs escalate further with Nvidia's markup added.Beyond LPDDR5X, each VR200 NVL72 rack carries approximately $1 million or more of 3D NAND storage, up from virtually zero in GB300 NVL72 systems
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. This massive addition reflects the growing need for high-capacity, high-speed storage in AI workloads.
Source: Wccftech
While memory costs have surged dramatically, Rubin GPUs themselves represent the single largest cost component. Nvidia plans to charge $55,000 per Rubin GPU when selling them in volume inside VR200 NVL72 chassis to hyperscalers, according to Morgan Stanley
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. With 72 GPUs per rack, this translates to nearly $4 million in GPU costs alone, representing a 57% increase over the Blackwell-based systems3
. Vera CPUs add another $180,000 to the Bill of Materials, with each chip priced at roughly $5,0003
.The remaining approximately $2 million in costs encompasses more sophisticated switching, networking, printed circuit board components, cooling, power supply, and chip packaging—all of which have become more complex and expensive
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. Notably, PCB costs saw the second-highest increase at 233%, jumping from $35,100 in Blackwell to $116,730 on Rubin3
.Related Stories
Despite the eye-watering price tag, demand for Vera Rubin appears robust. Jensen Huang, Nvidia's CEO, expressed confidence during an investor call, stating that "every single frontier model company will jump on Vera Rubin from the get go—and that was not true before on Blackwell"
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. He predicted that "Vera Rubin is off to a tremendous start, and it will surely be more successful than even Grace Blackwell"2
.
Source: Tom's Hardware
Vera Rubin is already in production and confirmed for first shipments in the third quarter of 2026, followed by volume ramp in the fourth quarter
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. The platform's architecture features 36 superchips per NVL72 rack, with each tray housing four Rubin GPUs and two Vera CPUs3
.The soaring costs of AI systems carry implications beyond data center sales. As AI infrastructure continues to absorb vast quantities of memory modules, supply constraints are affecting consumer electronics markets. The intense demand for HBM4 & LPDDR5X from AI applications is driving up prices across the board, with contract prices for DDR5 memory now ranging between $12 and $16 per GB, and spot prices averaging around $20 per GB
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.If Vera Rubin achieves the success Nvidia anticipates, memory manufacturers will likely continue prioritizing AI infrastructure over consumer products, potentially keeping memory prices elevated for the foreseeable future
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. Nvidia's recent earnings call reported record revenue of $81.6 billion in the first quarter of 2026, with AI infrastructure and data center sales comprising the vast majority2
. This financial success reinforces the company's ability to command premium pricing while maintaining strong demand from cloud service providers racing to deploy next-generation AI systems.Summarized by
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